The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release
The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release
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斯巴鲁 HSC 光选集群的溅射半径第二次公开数据发布
DOI：
10.1093/pasj/psaa041
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发表时间：
2020
影响因子：
2.3
通讯作者：
Osato Ken
中科院分区：
文献类型：
--
作者：
Murata Ryoma;Sunayama Tomomi;Oguri Masamune;More Surhud;Nishizawa Atsushi J;Nishimichi Takahiro;Osato Ken
最近从文献中的redMaPPer星系团发现算法对光学选择的星系团周围的溅射半径的限制表明，观测到的溅射半径比Byn-Body模拟的小。我们对∼ 3000光学选择星系团周围的溅射特征进行了分析，该星系团是由独立星系团发现算法CAMIRA在超高级凸轮战略计划第二次公开发布的星系团星表的∼427 de2的0.1和1.0红移范围内探测到的。我们从星系团和光度学星系之间在宽红移范围内的投影互相关测量中探测到溅射特征，包括0.7<；ZCL<；1.0的高红移星团，这要归功于深层次的HSC图像。我们发现，只有红星系群的约束比没有任何颜色切割的约束更精确，导致1σ精度分别为0.4和0.7；ZCL<；1.0。这些在0.4<；ZCL<；0.7和0.7<；ZCL<；1.0的约束与模型预测(≲1σ)更一致，而不是之前用redMaPPer(∼2σ)所建议的较小的值。我们还研究了光学星系团发现算法对观测到的溅射特征的选择效应，通过从晕占据分布模型创建模拟星系星表，发现这种影响对于Camira星系团发现算法是次要的。我们还发现，redMaPPer类星团发现算法在我们的模拟星表中导致了较小的推断回溅半径，特别是在较低的丰度时，这可以很好地解释文献中较小的回溅半径。相反，当增加光圈大小时，这些偏差会显著减小。这一发现表明，小于溅射特征尺度的光学星系团探测器的孔径大小可能会在推断的溅射半径位置上引起显著的偏差。
Recent constraints on the splashback radius around optically selected galaxy clusters from the redMaPPer cluster-finding algorithm in the literature have shown that the observed splashback radius issmaller than that predicted byN-body simulations. We present analyses on the splashback features around ∼ 3000 optically selected galaxy clusters detected by the independent cluster-finding algorithm CAMIRA over a wide redshift range of 0.1 <zcl< 1.0 from the second public data release of the Hyper Suprime-Cam (HSC) Subaru Strategic Program covering ∼427 deg2for the cluster catalog. We detect the splashback feature from the projected cross-correlation measurements between the clusters and photometric galaxies over the wide redshift range, including for high-redshift clusters at 0.7 <zcl< 1.0, thanks to deep HSC images. We find that constraints from red galaxy populations only are more precise than those without any color cut, leading to 1σ precisions ofat 0.4 <zcl< 0.7 and 0.7 <zcl< 1.0. These constraints at 0.4 <zcl< 0.7 and 0.7 <zcl< 1.0 are more consistent with the model predictions (≲1σ) than theirsmaller values as suggested by the previous studies with the redMaPPer (∼2σ). We also investigate selection effects of the optical cluster-finding algorithms on the observed splashback features by creating mock galaxy catalogs from a halo occupation distribution model, and find such effects to be sub-dominant for the CAMIRA cluster-finding algorithm. We also find that the redMaPPer-like cluster-finding algorithm induces a smaller inferred splashback radius in our mock catalog, especially at lower richness, which can well explain the smaller splashback radii in the literature. In contrast, these biases are significantly reduced when increasing its aperture size. This finding suggests that aperture sizes of optical cluster finders that are smaller than splashback feature scales can induce significant biases on the inferred location of a splashback radius.